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Computational Models of Learning

Produktform: Buch / Einband - flex.(Paperback)

In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-642-82744-0 / 978-3642827440 / 9783642827440

Verlag: Springer Berlin

Erscheinungsdatum: 15.12.2011

Seiten: 208

Auflage: 1

Zielgruppe: Research

Herausgegeben von Leonard Bolc
Beiträge von R.S. Michalski, G.L. Bradshaw, P. Langley, S. Ohlsson, L.A. Rendell, H.A. Simon, J.G. Wolff

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